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A different way of understanding Tela is as a natural language development layer above Large Language Models (LLMs).
Large Language Model (LLM) is a type of artificial intelligence model designed to process and generate human-like text by understanding the relationships between words, phrases, and context.
At Tela, we do all the hard work of integrating and doing business with LLM providers, so you don’t have to. When using our tool you will:
  • Access state-of-the-art LLMs, such as OpenAI’s ChatGPT and Google’s Gemini
  • Seamlessly test and use different LLMs, finding the one that best works for your application
  • Benefit from high usage limits from our enterprise license
  • Receive centralized billing for all your applications, including those using different LLM providers
To select the model you want to use, click the model name at the bottom of the Prompt Editor pane. The picker groups models by provider and lets you filter by Advanced, Multimodal or Cheap models. Each model shows its relative cost ($ to $$$$$) and its maximum input and output size. Language Model selector button
You will notice some models have a date in their names. This is a specific version of the model released on that date. We keep it available to allow users to pin their versions, avoiding possible inconsistencies in newer versions of the same model.

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Available Models

The list of models changes often as providers release new ones. The picker always shows the models available for your Workspace.

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Temperature

You can configure the Temperature of the LLM by clicking on the gear icon next to the LLM name. We recommend a Temperature of zero when working with repeatable and deterministic processes.
In the LLM context, temperature is the amount of randomness the model is allowed to use. Generally, lower temperatures tend to generate more assertive responses while higher temperatures are more unexpected, allowing the model to be “creative”.